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#pragma once

#include "pb_error.h"
#include "pb_tensor.h"
#include "pb_utils.h"

namespace triton { namespace backend { namespace python {
class InferResponse {
  std::vector<std::shared_ptr<PbTensor>> output_tensors_;
  std::shared_ptr<PbError> error_;
  bool is_message_set_ = false;

 public:
  InferResponse(
      const std::vector<std::shared_ptr<PbTensor>>& output_tensors,
      std::shared_ptr<PbError> error = nullptr);
  InferResponse(const std::vector<std::shared_ptr<PbTensor>>& output_tensors);
  bool IsErrorMessageSet();
  std::vector<std::shared_ptr<PbTensor>>& OutputTensors();
  void SaveToSharedMemory(
      std::unique_ptr<SharedMemory>& shm_pool, Response* response_shm,
      bool copy_cpu, bool copy_gpu);
  static std::unique_ptr<InferResponse> LoadFromSharedMemory(
      std::unique_ptr<SharedMemory>& shm_pool, off_t response_offset,
      std::shared_ptr<std::mutex>& cuda_ipc_open_mutex,
      std::shared_ptr<std::mutex>& cuda_ipc_close_mutex);
  bool HasError();
  std::shared_ptr<PbError>& Error();

  // Copying inference response objects is not allowed.
  InferResponse(const InferResponse& other) = delete;
  InferResponse& operator=(const InferResponse& other) = delete;
};
}}}  // namespace triton::backend::python
